{"id":"W2126725124","doi":"10.1139/cjm-2014-0700","title":"Functional microbial diversity dynamics in common effluent treatment plants of South Gujarat and hydrocarbon degradation","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Degradation (telecommunications); Effluent; Hydrocarbon; Microbial biodegradation; Diversity (politics); Biodegradation; Biology; Ecology; Environmental chemistry; Chemistry; Environmental science; Microorganism; Bacteria; Environmental engineering; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009834761,0.0003086275,0.0002776855,0.0009585525,0.0005742862,0.0006644077,0.0001772635,0.0003142303,0.0004189959],"category_scores_gemma":[0.0002267753,0.0001827058,0.0002171811,0.0009612326,0.0004863794,0.0001798465,0.0004189584,0.0001662644,0.0001196034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005182736,"about_ca_system_score_gemma":0.0004657375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0248735,"about_ca_topic_score_gemma":0.04431724,"domain_scores_codex":[0.999797,0.0000230589,0.0000162274,0.00007085728,0.0000369488,0.00005584143],"domain_scores_gemma":[0.9998511,0.00001988736,0.00005215994,0.000006486598,0.00003484201,0.00003544027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006316253,0.0001528995,0.7385847,0.0002483648,0.0000958878,0.00156693,0.009356073,0.0006483433,0.2306481,0.0001872625,0.0001524848,0.01772729],"study_design_scores_gemma":[0.000004353002,0.0001568108,0.9954592,0.00000567654,0.00001708596,0.000389924,0.00148418,0.0002325284,0.001874512,0.00001582262,0.0003522534,0.000007714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997941,0.00003527189,0.00003267415,0.00000679123,4.449859e-7,0.00000239799,0.00003980342,0.000001919901,0.00008668402],"genre_scores_gemma":[0.9994961,0.00005015979,0.00009625726,0.00001223554,0.000001093077,0.000003794286,0.0001334449,0.000001451318,0.000205414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0248735,"threshold_uncertainty_score":0.04945743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793017496105352,"score_gpt":0.1820305840926803,"score_spread":0.1641004091316268,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}